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How to use plot_cpu_mem_keypoints method in Airtest

Best Python code snippet using Airtest

plot.py

Source:plot.py

...89        end_time = datetime.fromtimestamp(int(self.timestamp_list[-1]))90        end_time = end_time.strftime('%H:%M:%S')91        title = "Timespan: %s ââ %s" % (start_time, end_time)92        return title93    def plot_cpu_mem_keypoints(self):94        """ç»å¶CPU/Mem/ç¹å¾ç¹æ°é."""95        plt.figure(1)96        # å¼å§ç»å¶åå¾:97        plt.subplot(311)98        title = self._get_graph_title()99        plt.title(title, loc="center")  # è®¾ç½®ç»å¾çæ é¢100        mem_ins = plt.plot(self.time_axis, self.mem_axis, "-", label="Mem(MB)", color='deepskyblue', linestyle='-', marker=',')101        # è®¾ç½®æ°åæ ç¾102        plt.legend(mem_ins, ["Mem(MB)"], loc='upper right')  # è¯´ææ ç¾çä½ç½®103        plt.grid()  # å ç½æ ¼104        plt.ylabel("Mem(MB)")105        plt.ylim(bottom=0)106        for method_exec in self.method_exec_info:107            start_date = datetime.fromtimestamp(method_exec["start_time"])108            end_date = datetime.fromtimestamp(method_exec["end_time"])109            plt.vlines(start_date, 0, self.max_mem, colors="c", linestyles="dashed")  # vlines(x, ymin, ymax)110            plt.vlines(end_date, 0, self.max_mem, colors="c", linestyles="dashed")  # vlines(x, ymin, ymax)111            # ç»å¶memæå:112            x = datetime.fromtimestamp(method_exec["mem_max_time"])113            text = "%s: %d MB" % (method_exec["name"], method_exec["mem_max"])114            plt.text(x, method_exec["mem_max"], text, ha="center", va="bottom", fontsize=10)115            plt.plot(x, method_exec["mem_max"], 'bo', label="point")  # ç»å¶ç¹116        # ç»å¶åå¾2117        plt.subplot(312)118        cpu_ins = plt.plot(self.time_axis, self.cpu_axis, "-", label="CPU(%)", color='red', linestyle='-', marker=',')119        plt.legend(cpu_ins, ["CPU(%)"], loc='upper right')  # è¯´ææ ç¾çä½ç½®120        plt.grid()  # å ç½æ ¼121        plt.xlabel("Time(s)")122        plt.ylabel("CPU(%)")123        plt.ylim(0, 120)124        for method_exec in self.method_exec_info:125            start_date = datetime.fromtimestamp(method_exec["start_time"])126            end_date = datetime.fromtimestamp(method_exec["end_time"])127            plt.vlines(start_date, 0, 100, colors="c", linestyles="dashed")  # vlines(x, ymin, ymax)128            plt.vlines(end_date, 0, 100, colors="c", linestyles="dashed")  # vlines(x, ymin, ymax)129            # ç»å¶memæå:130            x = datetime.fromtimestamp(method_exec["cpu_max_time"])131            text = "%s: %d%%" % (method_exec["name"], method_exec["cpu_max"])132            plt.text(x, method_exec["cpu_max"], text, ha="center", va="bottom", fontsize=10)133            plt.plot(x, method_exec["cpu_max"], 'ro', label="point")  # ç»å¶ç¹134        # ç»å¶åå¾3135        plt.subplot(313)  # ç»å¶ä¸ä¸æ±ç¶å¾(å³é®ç¹)136        # è®¾ç½®è½´åæ ç¾137        plt.xlabel('methods')138        plt.ylabel('keypoints number')139        method_list, method_pts_length_list, color_list = [], [], []140        for method_exec in self.method_exec_info:141            for item in ["kp_sch", "kp_src", "good"]:142                method_list.append("%s-%s" % (method_exec["name"], item))143                method_pts_length_list.append(method_exec[item])144                if method_exec["result"]:145                    color_list.append(["palegreen", "limegreen", "deepskyblue"][["kp_sch", "kp_src", "good"].index(item)])146                else:147                    color_list.append("tomato")148        method_x = np.arange(len(method_list)) + 1149        plt.bar(method_x, method_pts_length_list, width=0.35, align='center', color=color_list, alpha=0.8)150        plt.xticks(method_x, method_list, size='small', rotation=30)151        # è®¾ç½®æ°åæ ç¾152        for x, y in zip(method_x, method_pts_length_list):153            plt.text(x, y + 10, "%d" % y, ha="center", va="bottom", fontsize=7)154        plt.ylim(0, max(method_pts_length_list) * 1.2)155        # æ¾ç¤ºå¾å156        plt.show()157def main():158    # ç»å¶ç»æå¾159    plot_object = PlotResult(dir_path="result", file_name="high_dpi.json")160    plot_object.plot_cpu_mem_keypoints()161if __name__ == '__main__':...

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